Clube da Aposta Clube da Aposta menu  
What would you like to find?
fundo 1
free bonus kenya betting
Home » Predictions » Others » Paksi x Kisvarda FC Betting tips for November 8 in Hungary NB I
Saturday, 08 November 2025, 18h15 Hungary NB I
Paksi Paksi
PREDICTION Paksi wins Probability 74% 1 X 2
Kisvarda FC Kisvarda FC
ODD: @1.65
Bonus 100% up to $500
THECLUB Use code

Paksi x Kisvarda FC Betting tips for November 8 in Hungary NB I

Our betting tip for Paksi x Kisvarda FC, Saturday, 8/11/2025
📅 8/11/2025
18:15
Paksi Paksi
1.65
X
3.90
Kisvarda FC Kisvarda FC
4.27

This is the bet from our artificial intelligence for Paksi x Kisvarda FC:

🔮 Paksi wins the match
💰 When you bet the bonus of $500 from Bet365 on Paksi, you can win up to $825.00!

Or access: https://www.bet365.com
 

Some important points for the tip for Paksi x Kisvarda FC:

👉 If you had bet $100 on Paksi in each of its last 5 matches as home, you would have had a profit of $54.0.
👉 If you had bet $100 on Kisvarda FC in each of its last 5 matches as away, you would have had a profit of $440.0.
👉 In the last 5 matches as the home team, Paksi scored at least 1 goal(s).
👉 In the last 5 matches as the home team against Kisvarda FC, Paksi scored at least 1 goal(s).
👉 In the last 3 head-to-head matches between Paksi x Kisvarda FC, with Paksi as the home team, they finished over 2.5 goals.
👉 Playing as the home team, Paksi conceded at least 1 goal(s) in all the last 3 head-to-head against Kisvarda FC.
👉 Paksi has won all the last 4 matches playing at home against Kisvarda FC.

Place your Bet with Bet365 Bonus

Summary

Do you want other suggestions of bookmakers to bet on Paksi x Kisvarda FC?

If you want other options of bookmakers to bet on Paksi x Kisvarda FC, no problem. Right below you have the sports betting sites that we used the most in 2025. You will be in good hands on any of them, just pick your favorite and start betting:

Analysis from Paksi x Kisvarda FC for the Hungary NB I – 8 of November

🏟️ Paksi X Kisvarda FC – Hungary NB I
📅 8 of November, 2025 – 18:15
🔵 Paksi – Winning probability: 74.59% | Fair line: 1.34
Tied game – Probability of tied match: 14.81% | Fair line: 6.75
🔴 Kisvarda FC – Winning probability: 10.60% | Fair line: 9.43
⚖ Handicap 1×2: -0.75 Paksi
⚽ Expected goals: 2.75 goals
⛳ Expected corner kicks: 10.25 corner kicks

When the best bet on Paksi x Kisvarda FC is analysed, notice that our AI model is not interested in getting the right result, but instead in looking for situations where the bookies offer us a positive expected value.

Therefore, to find the numbers, our artificial intelligence has colected information from around 1434443 matches on our betting database, in order to calculate the probabilities of this match ending with a home team victory, a tied match or even an away team victory. Check out the results:

Tips for the 1×2 market for Paksi x Kisvarda FC

Should you bet on Paksi?

🔵 Paksi: our artificial intelligence has calculated that the probability of this event happening is around 74.59%, meanwhile the bookies are offering avarage odds of 1.65. This means that if you made 1000 bets of $1 like this, you:

  • Would hit 750 times – this would give you a profit of $487.50
  • And would have lost other 250 times – with a loss of -$250.00 because of them.

It is a value bet, since after all you would have an expected final profit of 💰$237.50.

Is betting on draw worth it?

draw: the model predicted that the probability of this event happening is 14.81% and we know that avarage odds offered by the bookies are 3.90. This means that if you made 1000 bets of $1 like this, you:

  • Would hit 150 times – profiting $435.00;
  • And would lose other 850 times – having a loss of -$850.00 with them.

So this bet does not have value. After all, you would have an expected loss of 💰-$415.00.

Is it a good idea to bet on Kisvarda FC?

🔴 Kisvarda FC: the model predicted that the probability of this event happening is 10.6% and we know that avarage odds offered by the bookies are 4.27. That is, when you make 1000 bets of $1 like this one, you:

  • Would have hit 110 times – having a profit of $359.70;
  • And would have lost other 890 times – with a loss of -$890.00 because of them.

That is why this bet does not have value. In the end, you would have had a final loss of 💰-$530.30.

Place your Bet with Bet365 Bonus

Handicaps analysis for the match Paksi x Kisvarda FC

Another important market to analyse is the Asian handicaps one, our algorithm is also going to help you with that. If you have no idea what a handicap is, do not worry! We have a complete article about the Asian handicap on sporting betting that will answer all your questions. You can click on it and leave it open on another tab so you can read later.

Moving ahead we can see what the model has in store for these markets here:

⚖ Handicap 1×2: -0.75 Paksi
⚽ Expected goals: 2.75 goals

Tips for the Handicap 1×2 market for Paksi x Kisvarda FC

⚖ Handicap 1×2: our model believes that the ideal handicap is -0.75 Paksi and the available handicap to bet at the moment is -0.75 Paksi.

Since there is not big differences between the handicap offered by bookies and the one suggested by our algorithm, we can consider that there is no value to bet on the Handicap 1×2 market.

Tips for the Goals Handicap market for Paksi x Kisvarda FC

⚽ Goals Handicap: considering the estimates of our model, the main handicap should be 2.75 goals, and the current handicap offered by bookies is 3.00 goals.

We can notice that the difference between the handicap predicted by the model and the one available to bet at the bookmaker is -0.25. Therefore, the recommended bet for the Goals Handicap is on: – 3.00 goals.

Place your Bet with Bet365 Bonus

Written by
Autor
Humberto Alves

Hi there! You can call me Beto! I'm 32 years old, graduated in Business Management and now I'm doing my second degree in Statistics and Data Science, which is really helpful to bring the Machine Learning models applied in sports betting that you see here. Even though I'm in this betting world since 2010, there's still a lot to be learned.

> Check other content created by Humberto Alves